/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2018, Open AI Lab
 * Author: chunyinglv@openailab.com
 */
#include "operator/flatten.hpp"


namespace TEngine {

bool Flatten::InferShape(const std::vector<TEngine::TShape>& ishape, 
                               std::vector<TEngine::TShape>& oshape)
{

     const TShape& input=ishape[0];

    const std::vector<int>& in_dim=input.GetDim();
 
    int new_channel=1;
     for(int i=param_.axis;i<=param_.end_axis;i++)
     {
         new_channel*=in_dim[i];
     }
     
    TShape shape;
    std::vector<int> dim={in_dim[0],new_channel,1,1};
    shape.SetDim(dim);
    shape.SetDataLayout("NCHW");
    oshape[0]=shape;
    return true;    

}


void Flatten::SetSchema(void)
{
    Input({"input:float32"})
    .Output({"output:float32"})
    .SetLayout("NCHW")
    .SetAttr("axis",1)
    .SetAttr("end_axis",3)
    .SetDoc(R"DOC(Flatten Layer)DOC");
}


} //namespace TEngine
